Smart ECG Biosensor Design with an Improved ANN Performance Based on the Taguchi Optimizer

This paper aims to design a smart biosensor to predict electrocardiogram (ECG) signals in a specific auscultation site from other ECG signals measured from other measurement sites. The proposed design is based on a hybrid architecture using the Artificial Neural Networks (ANNs) model and Taguchi opt...

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Detalles Bibliográficos
Autores principales: Sidhom, Lilia, Chihi, Ines, Barhoumi, Mahfoudh, Ben Afia, Nesrine, Kamavuako, Ernest Nlandu, Trabelsi, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495665/
https://www.ncbi.nlm.nih.gov/pubmed/36135028
http://dx.doi.org/10.3390/bioengineering9090482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495665/
https://www.ncbi.nlm.nih.gov/pubmed/36135028
http://dx.doi.org/10.3390/bioengineering9090482

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